Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
 Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
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1k
perc
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0
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logrank_test
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
1
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0
84.2
WLg_TaroneWare_test
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0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
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train
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1.710048
1.818194
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1.372369
7,642
train
H1
H24
300
300
20
25.333333
21.333333
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1.29139
0.571885
0.571208
2.943164
3.932853
3.437345
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1.29139
0.179304
0.326279
0.966848
1.667816
0.192413
0.196273
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7,642
train
H0
H24
500
500
20
19.8
19
0.32661
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1.260073
1.475152
1.129328
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0.708393
0.568551
0.503215
0.16818
0.072958
1.004378
0.984088
0.274341
7,642
train
H1
H24
500
500
20
18.6
20.4
0.227155
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0.190517
6.213143
0.111494
0.227155
0.307839
0.101689
0.094541
0.188822
0.04376
0.116316
0.153825
0.212776
7,642
train
H0
H24
1,000
1,000
20
22.2
21
-0.319126
0.349456
0.168447
0.168591
0.031893
9.508391
0.204624
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0.349456
0.023242
0.028423
0.021246
0.122117
0.005662
0.010372
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7,642
train
H1
H24
1,000
1,000
20
20.9
19.8
-0.440019
0.490539
0.078029
0.07801
0.207031
5.462379
0.832163
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0.490539
0.140906
0.006086
0.020277
0.240725
0.177729
0.187488
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7,642
train
H0
H24
20
20
30
35
40
0.38589
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2.821797
3.500907
2.701908
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0.811815
0.258993
0.673485
0.249571
0.068744
1.889002
1.795468
0.264278
7,642
train
H1
H24
20
20
30
15
30
0.185855
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2.554054
3.832754
2.313419
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0.675866
0.280099
0.454656
0.068584
0.003284
1.50428
1.202609
0.070908
7,642
train
H0
H24
30
30
30
30
46.666667
0.958072
-0.741468
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6.535567
7.546099
6.35158
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1.518395
0.041761
2.374921
1.132481
0.547962
5.656726
5.471518
0.742123
7,642
train
H1
H24
30
30
30
40
20
-1.252242
1.243831
1.109221
1.094836
1.64757
1.835921
1.601477
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1.243831
0.194791
1.198666
1.49163
1.539933
0.497524
0.618775
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7,642
train
H0
H24
50
50
30
22
28
-1.195001
1.201871
1.037943
1.05102
1.51424
1.588392
1.481366
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1.201871
0.216495
1.104644
1.394304
1.454749
0.373632
0.388171
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7,642
train
H1
H24
50
50
30
32
26
-0.57359
0.548717
0.616094
0.61145
0.375464
0.513538
0.373949
0.61145
0.616094
0.573205
0.373871
0.326031
0.300188
0.359634
0.356841
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7,642
train
H0
H24
75
75
30
34.666667
20
-3.034539
2.961776
3.123279
3.209704
10.307375
11.032423
10.31797
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3.123279
0.002376
10.3022
9.725778
8.886436
7.044993
7.033191
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7,642
train
H1
H24
75
75
30
34.666667
20
-1.307326
1.294416
1.223822
1.224534
1.642331
2.188168
1.707805
1.224534
1.294416
0.187197
1.499483
1.572693
1.673826
0.691572
0.68754
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7,642
train
H0
H24
100
100
30
38
32
-0.397561
0.315511
0.607217
0.604973
0.714006
1.012624
0.661295
0.604973
0.607217
0.718458
0.365992
0.167207
0.099364
0.732313
0.723378
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7,642
train
H1
H24
100
100
30
29
33
1.183344
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5.727283
6.1328
5.565707
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1.762253
0.061862
3.206896
1.790493
1.070763
5.27557
5.056711
1.066058
7,642
train
H0
H24
150
150
30
34.666667
30.666667
-1.90405
2.090402
1.167793
1.172412
7.068977
7.308536
6.894603
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2.090402
0.031037
1.374551
3.264742
4.384657
0.196407
0.166081
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7,642
train
H1
H24
150
150
30
38
32
-1.617623
1.713452
1.374083
1.371192
2.415512
7.851876
2.819735
-1.617623
1.713452
0.049174
1.880167
2.234332
2.938826
0.383022
0.334214
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7,642
train
H0
H24
200
200
30
21.5
32.5
0.433603
-0.273896
-1.064073
-1.061897
3.400612
3.720291
3.397329
-1.061897
1.064073
0.182928
1.127625
0.318765
0.07446
2.825548
2.90253
0.285085
7,642
train
H1
H24
200
200
30
31
26
-0.096831
0.110304
0.35839
0.357457
1.107916
10.857502
0.490509
0.357457
0.35839
0.012522
0.127775
0.004055
0.012161
0.389995
0.271695
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7,642
train
H0
H24
300
300
30
27.666667
27
-0.936029
0.924337
0.999098
0.99826
1.003667
1.35529
0.997956
-0.936029
0.999098
0.33978
0.996523
0.83177
0.855206
0.707921
0.732073
-0.9546
7,642
train
H1
H24
300
300
30
26
25.333333
-0.545415
0.677501
-0.15303
-0.152866
2.122665
9.909726
3.346569
-0.152866
0.677501
0.019349
0.023368
0.042007
0.459506
1.206832
1.318216
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7,642
train
H0
H24
500
500
30
28.4
30.4
0.264041
-0.264678
-0.279639
-0.279389
0.078221
0.152615
0.078121
0.264041
0.279639
0.786361
0.078058
0.072006
0.070034
0.045733
0.038278
0.271038
7,642
train
H1
H24
500
500
30
28.6
30.8
2.144589
-2.025641
-2.458102
-2.471138
6.110509
13.487955
6.323887
2.144589
2.458102
0.003692
6.106523
5.945605
4.115125
5.628468
5.900139
2.072159
7,642
train
H0
H24
1,000
1,000
30
31.3
29.7
-1.292541
1.338481
1.037673
1.037496
1.7344
2.090711
1.885399
-1.292541
1.338481
0.167855
1.076399
1.464695
1.7914
0.163425
0.167195
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7,642
train
H1
H24
1,000
1,000
30
29.2
30.4
1.367243
-1.308721
-1.462793
-1.463542
2.240126
8.298123
2.141982
1.367243
1.462793
0.040236
2.141956
2.421054
1.714476
1.561442
1.619034
1.342324
7,642
train
H0
H24
20
20
40
35
30
-1.032142
0.893318
1.224515
1.243576
1.916562
3.396737
1.833743
-1.032142
1.224515
0.334404
1.546481
1.042861
0.822948
2.318261
2.135926
-0.959067
7,642
train
H1
H24
20
20
40
55
50
-0.576987
0.710991
0.501194
0.499493
0.357673
8.169613
0.41601
0.499493
0.710991
0.042633
0.249493
0.335956
0.509879
0.083461
0.06394
-0.767723
7,642
train
H0
H24
30
30
40
30
43.333333
1.346802
-1.259554
-1.55034
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2.64875
2.884544
2.623661
-1.560266
1.55034
0.189349
2.434429
2.009984
1.599147
2.072273
2.064801
1.312507
7,642
train
H1
H24
30
30
40
30
50
0.799149
-0.650961
-1.074259
-1.070383
1.606535
5.70644
1.795247
-1.070383
1.074259
0.1268
1.145719
0.821598
0.422655
1.546394
1.773342
0.679502
7,642
train
H0
H24
50
50
40
48
50
-0.29754
0.138242
0.493204
0.494887
0.914682
1.11449
0.888664
0.494887
0.493204
0.641252
0.244913
0.074015
0.01908
0.907043
0.879785
-0.157448
7,642
train
H1
H24
50
50
40
50
38
0.631963
-0.590234
-0.701844
-0.71854
0.545552
0.587606
0.543591
-0.71854
0.701844
0.535431
0.5163
0.469777
0.351329
0.285068
0.279438
0.619737
7,642
train
H0
H24
75
75
40
38.666667
33.333333
-0.737931
0.772109
0.552278
0.552034
0.567735
3.508282
0.751511
-0.737931
0.772109
0.31969
0.304742
0.384097
0.59684
0.022518
0.008675
-0.798565
7,642
train
H1
H24
75
75
40
46.666667
42.666667
-0.410996
0.491062
0.27426
0.273732
0.361659
0.428783
0.37607
-0.410996
0.491062
0.609503
0.074929
0.164481
0.240814
0.000491
0.000052
-0.510783
7,642
train
H0
H24
100
100
40
36
36
0.112946
0.004244
-0.411714
-0.410365
0.606935
2.767699
0.85633
-0.410365
0.411714
0.428845
0.168399
0.071503
0.000018
0.651341
0.704608
-0.00513
7,642
train
H1
H24
100
100
40
41
31
-1.929218
1.95179
1.614119
1.611159
3.963764
6.436694
4.268741
-1.929218
1.95179
0.045558
2.595833
3.176253
3.82253
0.437836
0.422912
-1.999462
7,642
train
H0
H24
150
150
40
43.333333
38
-0.766547
0.783648
0.669403
0.667254
0.606936
0.605984
0.626937
0.667254
0.783648
0.412465
0.445228
0.531924
0.617356
0.152259
0.16261
-0.819563
7,642
train
H1
H24
150
150
40
44
40.666667
-1.040404
1.113081
0.862406
0.863551
1.178446
2.455995
1.278503
-1.040404
1.113081
0.246266
0.74572
0.979738
1.238418
0.139578
0.133692
-1.159468
7,642
train
H0
H24
200
200
40
39
44
0.522036
-0.460664
-0.618286
-0.617041
0.424991
0.429165
0.433163
-0.617041
0.618286
0.631676
0.38074
0.290609
0.211118
0.404505
0.345312
0.47937
7,642
train
H1
H24
200
200
40
38.5
36.5
-1.316205
1.560835
0.549459
0.548612
6.445766
7.002886
6.838468
-1.316205
1.560835
0.032737
0.300975
1.34157
2.438034
0.953316
0.838293
-1.606023
7,642
train
H0
H24
300
300
40
42.666667
41
-0.561752
0.456642
0.751298
0.750765
0.853958
0.923245
0.833641
0.750765
0.751298
0.633555
0.563648
0.327525
0.208441
0.898513
0.890982
-0.476729
7,642
train
H1
H24
300
300
40
40
38
-0.99687
1.191248
0.470602
0.470258
2.613825
3.928234
3.048468
-0.99687
1.191248
0.215029
0.221143
0.77149
1.419578
0.283878
0.301425
-1.239855
7,642
train
H0
H24
500
500
40
43.2
38.8
-1.536032
1.565877
1.424686
1.42371
2.33889
2.686008
2.376485
-1.536032
1.565877
0.102502
2.02695
2.340067
2.4536
0.787547
0.732775
-1.632842
7,642
train
H1
H24
500
500
40
35.4
41.6
1.622669
-1.250258
-2.519119
-2.527101
11.528844
13.845919
12.403196
-2.527101
2.519119
0.002026
6.386241
3.532246
1.564671
11.857929
11.928389
1.286411
7,642
train
H0
H24
1,000
1,000
40
39.9
39.2
0.144157
-0.21183
0.043664
0.04364
0.324677
0.305063
0.334286
0.04364
0.21183
0.82532
0.001904
0.012777
0.044825
0.138045
0.124828
0.220708
7,642
train
H1
H24
1,000
1,000
40
37.8
43.2
2.190268
-1.885498
-2.798924
-2.803499
9.838831
11.026065
10.264665
2.190268
2.798924
0.005903
7.859606
5.65559
3.557012
10.128208
10.062299
1.953496